Out-of-school-time (OST) programs and their funders rely on sound data to make decisions about everything from professional development and student recruitment to the selection of activities to offer students. Programs operate at a range of times (before and after school, weekends, summer) and in a variety of locations (e.g., schools,…

This study aims at a rediscovery of the extent to which a Data Driven Learning (DDL)-based intervention could become instrumental in facilitating grammar instruction with a specific focus on English for Academic Purposes (EAP) and learner autonomy in a preparatory program comprised mostly of Turkish-L1 learners. It provides a context-restricted…

In this study, it was aimed to develop a Likert-type scale that will allow to measure the effectiveness of data-driven decision-making in schools in a valid and reliable way. The study group of the research consists of 179 school administrators working in public primary, secondary and high schools in Kahramanmaras province in the 2019-2020…

Novice teachers' readiness for teaching may affect the quality of the classroom environment and teachers' likelihood of remaining in teaching. Using a survey of novice teachers in one state, we examine teachers' preparedness for teaching, the supports offered, and the perceived helpfulness of those supports. Even novice teachers often had some…

The purpose of the "Drivers Best Practices Assessment" ("DBPA") is to assist organizations in assessing their current supports and resources for quality use of selected programs or practices. Specifically, organizations can use it to: (1) Identify strengths and opportunities for improvement in their current supports and…

The purpose of this evaluation was to understand the development, implementation, and impact of Project Exc-EL (Excellence for English Learners), a school-wide intervention focused on providing teacher professional development and training to better support English learners (ELs) in New York. Project Exc-EL focuses on training teachers to use data…

This is the final report of a large-scale independent evaluation of the Building Assets and Reducing Risks (BARR) model in ninth grade in eleven high schools in Maine, California, Minnesota, Kentucky, and Texas. This sample of schools included large and small schools in urban, suburban, and rural areas, serving students from a wide range of…